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Spatial and Temporal Characteristics of Air Pollutants Concentrations in Industrial Area in Malaysia

机译:马来西亚工业区空气污染物浓度的空间和时间特征

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Quantification of the spatial and temporal variations of ambient air pollutant concentrations provides the information for epidemiological and other air-pollution studies and many have relied in the past on data from a single, centrally-located air pollution monitoring site. Particulate matter (PM_(10)), nitrogen oxides (NO), sulfur dioxide (SO2), carbon monoxide (CO), ozone (O3) were measured at 3 monitoring sites around a densely populated industrial zone which is at Nilai, Petaling Jaya and Seberang Perai. The observations were obtained over five year period from 2008 to 2012. The descriptive statistics show that the peak concentration of PM_(10) occurs during the dry season; which is coincided with the southwest monsoon and also due to direct-influence of southwest winds and had caused a slightly moderate haze in Southeast Asia. From the Pearson correlation analysis, among the meteorological parameters, ambient temperature indicates the strongest positive correlation to the PM_(10)concentration and proves that the ambient temperature tent to contribute significantly to higher PM_(10) concentrations as high as in Southwest monsoon.
机译:环境空气污染物浓度的空间和时间变化的定量提供了流行病学和其他空气污染研究的信息,许多人依赖于来自单个中央的空气污染监测网站的数据。在3个监测位点,在Nilai,在Nilai,Petaling Jaya的浓密工业区的3个监测点测量颗粒物质(PM_(10)),二氧化硫(SO2),氟二氧化物(SO2),臭氧(O3),臭氧(O3)。和seberang perai。从2008年至2012年获得了五年期间的观察结果。描述性统计数据显示PM_(10)的峰值浓度发生在干燥季节;这与西南季风吻合,也是由于西南风的直接影响,并在东南亚引起了略微温和的雾度。从Pearson相关性分析,在气象参数中,环境温度表明与PM_(10)浓度最强的正相关,并证明了环境温度帐篷在西南季风中高于PM_(10)浓度的显着贡献。

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